Fast Adaptation for Cold-start Collaborative Filtering with Meta-learning.
Tianxin WeiZiwei WuRuirui LiZiniu HuFuli FengXiangnan HeYizhou SunWei WangPublished in: ICDM (2020)
Keyphrases
- meta learning
- cold start
- collaborative filtering
- recommender systems
- cold start problem
- data sparsity
- learning tasks
- inductive learning
- model selection
- matrix factorization
- user preferences
- user ratings
- machine learning algorithms
- tag recommendation
- decision trees
- implicit feedback
- data mining
- personalized recommendation
- transfer learning
- recommendation systems
- feature selection
- machine learning
- data sparseness
- user interests
- recommendation algorithms
- information overload
- metamodel
- supervised learning
- learning algorithm
- knowledge acquisition